Agent-Based Computational Sociology

Books

Most of the intriguing social phenomena of our time, such as
international terrorism, social inequality, and urban ethnic
segregation, are consequences of complex forms of agent interaction
that are difficult to observe methodically and experimentally. This
book looks at a new research stream that makes use of advanced
computer simulation modelling techniques to spotlight agent
interaction that allows us to explain the emergence of social
patterns. It presents a method to pursue analytical sociology
investigations that look at relevant social mechanisms in various
empirical situations, such as markets, urban cities, and
organisations.

This book:

Provides a comprehensive introduction to epistemological,
theoretical and methodological features of agent-based modelling in
sociology through various discussions and examples.

Presents the pros and cons of using agent-based models in
sociology.

Explores agent-based models in combining quantitative and
qualitative aspects, and micro- and macro levels of analysis.

Looks at how to pose an agent-based research question,
identifying the model building blocks, and how to validate
simulation results.

Features examples of agent-based models that look at crucial
sociology issues.

Supported by an accompanying website featuring data sets and
code for the models included in the book.

Agent-Based Computational Sociology is written in a
common sociological language and features examples of models that
look at all the traditional explanatory challenges of sociology.
Researchers and graduate students involved in the field of
agent-based modelling and computer simulation in areas such as
social sciences, cognitive sciences and computer sciences will
benefit from this book.